What are the hardware requirements for Phi 2 Int8 Ov?

Phi 2 Int8 Ov requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 2 Int8 Ov and how large is it?

Phi 2 Int8 Ov is developed by OpenVINO. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Phi 2 Int8 Ov?

Phi 2 Int8 Ov is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 2 Int8 Ov by OpenVINO — 2K context

Name: Phi 2 Int8 Ov
Author: OpenVINO

Phi 2 Int8 Ov is an open-source language model by OpenVINO. Features: LLM, Context: 2K, License: mit, LLM Explorer Score: 0.12.

Base model:microsoft/phi-2 Base model:quantized:microsoft... En Endpoints compatible Openvino Phi Region:us

Model Card on HF 🤗: https://huggingface.co/OpenVINO/phi-2-int8-ov

Phi 2 Int8 Ov Parameters and Internals

Model Type

text generation

Additional Notes

This model is in OpenVINO Intermediate Representation (IR) format with weights compressed to INT8.

Supported Languages

en (Full)

Input Output

Accepted Modalities:

text

Output Format:

text

LLM Name	Phi 2 Int8 Ov
Repository 🤗	https://huggingface.co/OpenVINO/phi-2-int8-ov
Base Model(s)	Phi 2 microsoft/phi-2
Required VRAM	0 GB
Updated	2026-08-04
Maintainer	OpenVINO
Model Type	phi
Model Files	0.0 GB 2.8 GB 0.0 GB
Supported Languages	en
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.1
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200

Rank the Phi 2 Int8 Ov capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Phi 2 Int8 Ov

Best Alternatives	Context / RAM	Downloads	Likes
Merlin1.4	2K / 5.6 GB	74	0
Merlin1.5	2K / 5.6 GB	99	0
Merlin1.2	2K / 5.6 GB	65	0
Merlin1.3	2K / 5.6 GB	67	0
Phi1.5 Quantized 2	2K / GB	5	0
Tinyllama Quant	2K / 0.8 GB	6	1
Phi1.5 Update 4	2K / GB	6	0
Phi 2 Fp8	2K / 3.3 GB	89	0
Phi Medquad Frequency	2K / 5.6 GB	5	0
Phi 2 Fp8	2K / 3.3 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than OpenVINO/phi-2-int8-ov.